Ji, Byoung-Yun;Oh, Jae-Heun;Park, Sang-Jun;Hwang, Jin-Sung;Cha, Du-Song
Journal of Forest and Environmental Science
/
v.27
no.3
/
pp.195-203
/
2011
Forest in the our country is in the age that needs positive operation in order to foster economical forest. Multiple operations for making valuable forest should be conducted steadily and timely from afforestation to harvesting. In order to execute these kinds of forest operations, the construction of skid trail network that can be effectively used as a pathway for forestry machine and working space is necessary. To investigate facility effect of skid trail network, we executed the location of skid trail network through centroid method by GIS for 50ha of harvesting workplace in mechanized model forest located in Hongcheon, Gangwon Province. As a result of this research, skid trail density in this area changed from 79m/ha with current method to 42m/ha with improved method. It appeared that skid trail density with improved method is nearly half of current method even though the cutting area is the same as the current cutting area. Also, skidding distance changed from 117m with current method to 57m with improved method. It appears that skidding distance with improved method is nearly half of current method even though cutting area was enlarged in adjacent tending cutting area.
Background: Particulate matter (PM) is one of the leading causes of premature death worldwide. Previous studies in South Korea have applied a relative risk calculated from Western populations when estimating the disease burden attributable to PM. However, the relative risk of PM on health outcomes may not be the same across different countries or regions. Objectives: This study aimed to estimate the premature deaths and socioeconomic costs attributable to long-term exposure to PM in South Korea. We considered not only the difference in PM concentration between regions, but also the difference in relative risk. Methods: National monitoring data of PM concentrations was obtained, and missing values were imputed using the AERMOD model and linear regression model. As a surrogate for relative risk, hazard ratios (HRs) of PM for cardiovascular and respiratory mortality were estimated using the National Health Insurance Service-National Sample Cohort. The nation was divided into five areas (metropolitan, central, southern, south-eastern, and Gangwon-do Province regions). The number of PM attributable deaths in 2018 was calculated at the district level. The socioeconomic cost was derived by multiplying the number of deaths and the statistical value of life. Results: The average PM10 concentration for 2014~2018 was 45.2 ㎍/m3. The association between long-term exposure to PM10 and mortality was heterogeneous between areas. When applying area-specific HRs, 23,811 premature deaths from cardiovascular and respiratory disease in 2018 were attributable to PM10 (reference level 20 ㎍/m3). The corresponding socioeconomic cost was about 31 trillion won. These estimated values were higher than that when applying nationwide HRs. Conclusions: This study is the first research to estimate the premature mortality caused by long-term exposure to PM using relative risks derived from the national population. This study will help precisely identify the national and regional health burden attributed to PM and establish the priorities of air quality policy.
This study was conducted to develop ingrowth estimation equations on Pinus densiflora found in Gangwon Province and in the center of Korean Peninsula, based on the National Forest Inventory (NFI)'s permanent sampling plot data. For this study, identical sampling plots in $5^{th}$ and $6^{th}$ NFI data were collected in order to identify ingrowth amounts for the last 5 years. Following two-stage approaches in developing the ingrowth estimation equations, the logistic regression model was used in the first stage to estimate the ingrowth probability. In the second stage, regression analysis on sampling plots with ingrowth occurrence was used to estimate the ingrowth amount. A candidate model was finally selected as an optimal model after a verification based on three evaluation statistics which include mean difference (MD), standard deviation of difference (SDD) and standard error of difference (SED). In results, a logistic regression model based on the number of sampling plot which did not result in ingrowth (model VI), was selected for an ingrowth probability estimation equation and exponential function including the species composition (SC) variable was optimal for an ingrowth estimation equation (model VII). The ingrowth estimation equations developed in this study also evaluated the estimation ability in various forest stand conditions, and no particular issue in fitness or applicability was observed.
This study was conducted to estimate carbon stocks of Pinus densiflora with drawing volume of trees in each tree height and DBH applying the suitable stem taper equation and tree specific carbon emission factors, using collected growth data from all over the country. Information on distribution area, tree age, tree number per hectare, tree volume and volume stocks were obtained from the $5^{th}$ National Forest Inventory (2006~2010) and Statistical yearbook of forest (2016), and method provided in IPCC GPG was applied to estimate carbon stock and uptake. Performance in predicting stem diameter at a specific point along a stem in Pinus densiflora by applying Kozak's model, $d=a_{1}DBH^{a_2}a_3^{DBH}X^{b_{1}Z^2+b_2ln(Z+0.001)+b_3\sqrt{Z}+b_4e^z+b_5(\frac{DBH}{H})}$, which is well known equation in stem taper estimation, was evaluated with validations statistics, Fitness Index, Bias and Standard Error of Bias. Consequently, Kozak's model turned out to be suitable in all validations statistics. Stem volume table of P. densiflora was derived by applying Kozak's model and carbon stock tables in each tree height and DBH were developed with country-specific carbon emission factors ($WD=0.445t/m^3$, BEF = 1.445, R = 0.255) of P. densiflora. As the results of analysis in carbon uptake for each province, the values were high with Gangwon-do $9.4tCO_2/ha/yr$, Gyeongsandnam-do and Gyeonggi-do $8.7tCO_2/ha/yr$, Chungcheongnam-do $7.9tCO_2/ha/yr$ and Gyeongsangbuk-do $7.8tCO_2/ha/yr$ in order, and Jeju-do was the lowest with $6.8tC/ha/yr$. Total carbon stocks of P. densiflora were 127,677 thousands tC which is 25.5% compared with total percentage of forest and carbon stock per hectare (ha) was $84.5tC/ha/yr$ and $7.8tCO_2/ha/yr$, respectively.
Mureung Valley was designed as a place of scenic beauty. It was called a utopia because of its unexplored regions. Many people traveled to this place and wrote poetry and prose describing it. It represented a culturally historic site and an example of the changing of cultural spaces. Mureung Valley was one of the nameless valleys in Duta Mountain, but "Mureunggye" was named by Kim Hyon Won, who was a governor of Samcheok.. The valley acquired a reputation for many people's visiting. It was a famous space because local residents liked the place, and famous people also loved the place. This place was adapted into a cultural place with a link to the immortal world and an educational place by people's travel stories. The place maintained a reputation until now and took center stage as a famous travel space. One of the reasons it became a place of famous scenic beauty is travel. People who travel to Mureung Valley created poetry and prose containing their excitement and travel stories. As the poetry and prose had esthetic images of Mureung Valley, people understood the place. The poetry and prose showed the meaning of the place and the changing process. These codified the reputation in the place. Mureung Valley was pointed out in one of the Cheokju-Palkyoungs. However, Mugye-Palkyoung (only for Mureung Valley) was made. It was understood as the most beautiful scenery in the place and it had the meaning of the ethics place which embodied Neo Confucianism. Mureung Valley has a great natural landscape and cultural history background. That is how this place of scenic beauty was created.
The study is based on machine learning techniques to increase the accuracy of the forest fire predictive model. It used 14 years of data from 2003 to 2016 in Gang-won-do where forest fire were the most frequent. To reduce weather data errors, Gang-won-do was divided into nine areas and weather data from each region was used. However, dividing the forest fire forecast model into nine zones would make a large difference between the date of occurrence and the date of not occurring. Imbalance issues can degrade model performance. To address this, several sampling methods were applied. To increase the accuracy of the model, five indices in the Canadian Frost Fire Weather Index (FWI) were used as derived variable. The modeling method used statistical methods for logistic regression and machine learning methods for random forest and xgboost. The selection criteria for each zone's final model were set in consideration of accuracy, sensitivity and specificity, and the prediction of the nine zones resulted in 80 of the 104 fires that occurred, and 7426 of the 9758 non-fires. Overall accuracy was 76.1%.
Chinese cabbage fields have been damaged by cyst nematodes in highland of Gangwon province in Korea since the year 2011, and clover cyst nematode (CCN) is one of the most problematic cyst nematodes in the crop. To investigate the plant resources for breeding new Chinese cabbage cultivar, which is resistant to CCN, screening for resistance of fifty-seven Brassicaceae plant resources to CCN was conducted. Among the plant resources, fifty-four plant resources (Brassica rapa subsp. pekinensis, B. rapa, Brassica sp., B. juncea, B. carinata, B. rapa subsp. nipposinica, B. rapa subsp. narinosa, B. rapa var. perviridis, B. rapa var. perviridis, B. napus var. napobrassica, and Eruca sativa) were very susceptible to CCN and the number of females on roots was more than 300. Two plant resources (B. carinata and B. tournefortii) with more than 100 females on roots were susceptible to CCN. However, African mustard (B. tournefortii, Korean Genebank accession no. IT218058) was resistant to CCN because of the small number of females (4±1.8) on roots. This study showed that African mustard (IT218058) was valuable as a breeding material for Chinese cabbage, which is resistant to CCN.
Incidence of Fusarium wilt was surveyed in fields of summer radish in Gangwon province in Korea in 2018 and 2019. The disease started in early July and spread rapidly in hot summer of late July and August and in severe case, reached up to 80% in a field in Gangneung area. Symptoms in the seedling stage include poor growth and browning of internal tissue of root. During mid-growth, the leaves of diseased plant turned yellow over time, the surface of the roots changed from white to blackish, and the vascular tissues turned brown. A total of 23 isolates was obtained from the diseased plants and identified as Fusarium oxysporum f. sp. raphani by elongation factor-1α and intergenic spacer sequence analysis. Pathogenicity of the isolates was tested by artificial inoculation to the radish and other plants. All the isolates tested were pathogenic to radish plant, although there were differences in virulence on radish 11 cultivars. However, the isolates were not virulent to other plants except some cruciferous vegetables including Brussels sprouts, rocket, stock, and turnip. The results of pathogenicity test showed that it is necessary to rotate with crops other than cruciferous vegetables in order to prevent Fusarium wilt from radish fields.
The purpose of this study is to analyze various issues that may arise from the recent deregulation of telemedicine implemented by the government, propose initiative preparations for the implementation of telemedicine policies, and suggest implications for the basic conditions and direction of the deregulation of telemedicine. Recently, deregulation policy cases in telemedicine include that designation of a special zone for regulatory freedom in Gangwon Province, allowing physician-patient telemedicine and telephone counseling and prescription cases in the COVID-19 crisis. There are four main issues that could arise with the deregulation of telemedicine: safety, effectiveness, differences in access to health care and the economic industry, and legal responsibility. As a initiative preparation, this study proposed a pilot project for telemedicine and enhanced support for face-to-face care complementary tools, vitalizing remote co-operation, policy model that do not disrupt the medical delivery system, and legal maintenance. In conclusion, as a suggestion of basic premise and direction in the implementation of telemedicine deregulation, the implementation of initiative measures to address issues concerning telemedicine, the review and regulation of conditions to be considered in the implementation of telemedicine, and the establishment of a close communication and cooperative sturcture with medical providers.
Purpose, Methoud: In this study, a survey was conducted on elementary school students in the region of Youngdong, Gangwon Province, to find out their awareness about their forest fire disaster experiences, the occurrence of forest fire, forest fire disaster education and coping behaviors for it. It's meant to provide some information on forest fire education based on the results of the survey. Four research questions were posed: 1. What is the awareness of elementary school students on their own forest fire disaster experiences? 2. What is their awareness on the occurrence of forest fire disaster? 3. What is their awareness on forest fire disaster education? 4. What is their awareness on coping behaviors for it? Result: The findings of the study were as follows: First, as for awareness on forest fire disaster experiences, 95.8 percent of the students that accounted for the majority knew about the meaning of forest fire. The students who knew about the meaning of disaster represented 80.8 percent. Second, as for awareness on the occurrence of forest fire, 35.8 percent thought forest fire broke out the most in summer. The students who had never seen forest fire in person accounted for 79.2 percent, which were the majority. Concerning the route of being aware of forest fire, the largest number of the students learned about it from TV, followed by families, friends, teachers, radio/schools and textbooks. Third, as for learning experiences on forest fire disaster, the students who had received this education accounted for 83.3 percent, which were the majority. This education was mostly provided by schools, and the second most common educational place was fire stations. Fourth, as for coping behaviors for the occurrence of forest fire, 80.5 percent replied they would dial the 119 emergency center, and the second most dominant answer was going up to the mountaintop, followed by quickly coming down to go home and having no idea. Conclusion: Through this study, It is judged that education on forest fire disasters and production of educational materials should be consistent and continuous education should be conducted.
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